채용
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Senior Consultant – Applied AI Engineer
You will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production-grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This cross-sector model gives you broad exposure to different regulatory environments, data landscapes and operating models, while building deep engineering capability that transfers across industries.
Location
London / Manchester / Birmingham / Edinburgh/ Belfast— Hybrid with client‑site travel
Contract
Permanent, full‑time
Why EY — and why FS
Within EY’s FS, you’ll help leading banks, insurers and capital‑markets firms move from AI experimentation to reliable production adoption — integrating systems with enterprise data, security and governance. You’ll be part of a growing engineering capability shaping AI‑enabled operating models for complex financial institutions.
Role purpose
Operate as a hands‑on engineer within a squad, taking ownership of defined components and delivering AI capabilities (e.g., agents, RAG pipelines) that meet enterprise standards for reliability, security and observability. Strengthen your foundations through the Applied AI Engineering Academy while taking on more responsibility for solution shaping and stakeholder engagement.
EY Grade: Senior Consultant (UK)
What you’ll do
Client‑facing engineering & delivery
- Collaborate with business and technology stakeholders; translate requirements into engineering tasks; support workshops, demos and solution reviews; drive adoption through testing and iteration.
Solution design & implementation
- Design and implement RAG pipelines, agents, microservices and integrations; apply monitoring, evaluation and Responsible AI guardrails.
Product mindset & continuous improvement
- Shape MVP scope, backlog and release planning; capture reusable patterns and contribute to shared accelerators.
What we’re looking for
Essential
-
Strong Python/TypeScript; async patterns; API design; testing/CI; microservice fundamentals.
-
Hands‑on LLMs, embeddings, vector databases; retrieval strategies and grounding.
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Cloud engineering (Azure preferred), Docker/Kubernetes, serverless; secure networking/IAM.
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Data engineering fundamentals (Spark/Databricks; ETL/ELT) and operational handover.
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Consulting behaviours: stakeholder engagement and clear, client‑ready communication.
Nice to have
- Document/graph stores; streaming (Event Hub/Kafka); cloud architecture exposure and governance credentials.
Travel & working model
Hybrid with periodic client travel across the UK (and occasional international travel).
What we offer you
At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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EY 소개

EY
PublicEY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.
10,001+
직원 수
London
본사 위치
리뷰
3.4
10개 리뷰
워라밸
2.3
보상
3.7
문화
4.1
커리어
3.8
경영진
3.2
65%
친구에게 추천
장점
Good learning opportunities and career advancement
Supportive culture and kind people
Professional environment and good benefits
단점
Long working hours and poor work-life balance
Hectic and taxing work environment
Limited support for interns and technical growth
연봉 정보
31,254개 데이터
Mid/L4
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1,738개 리포트
$142,571
총 연봉
기본급
$136,899
주식
-
보너스
$5,673
$100,128
$203,912
면접 경험
7개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
57%
면접 과정
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
자주 나오는 질문
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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